Graduate Data Scientist - Machine Learning Focus

Placements24; Stellenbosch; Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Hybrid work model

Professional growth opportunities

Job summary

Placements24 in Stellenbosch is seeking ambitious graduates for a Hybrid Graduate Data Scientist role. You will develop, train, and evaluate machine learning models, perform data preprocessing, and collaborate with research teams and product developers on challenging ML projects.

You will work with cutting-edge techniques, tools like TensorFlow and PyTorch, and real-world datasets, gaining mentorship from world-class data scientists.

Qualifications

• Master's or PhD in CS, DS, statistics, mathematics, physics or related field with a strong focus on machine learning.
• Strong theoretical understanding of ML algorithms (regression, classification, clustering, deep learning).
• Proficiency in Python or R and libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with data manipulation and analysis tools (Pandas, SQL).
• Strong analytical and critical thinking skills; excellent problem-solving abilities.
• Good communication and presentation skills; ability to explain complex concepts clearly.
• Ability to work independently and collaboratively in a hybrid team setting.
• Located within commuting distance of Stellenbosch, Western Cape for required in-office days.
• Must be legally eligible to work in South Africa.

Responsibilities

• Develop, train, and evaluate machine learning models for various applications.
• Perform data preprocessing, feature engineering, and model selection.
• Conduct exploratory data analysis and visualize complex datasets.
• Implement and deploy machine learning models into production environments.
• Collaborate with domain experts to understand business requirements and translate them into data science solutions.
• Stay updated with the latest research and advancements in machine learning and artificial intelligence.
• Communicate findings and model results to technical and non-technical stakeholders.
• Contribute to the development of data pipelines and infrastructure.
• Participate in code reviews and knowledge-sharing sessions.

Skills

Python

R

Pandas

SQL

TensorFlow

PyTorch

scikit-learn

Machine Learning

Data Analysis

Education

Master's or PhD in CS/DS/Statistics/Math/Physics

Tools

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client, a cutting-edge research and development firm situated in the vibrant academic hub of Stellenbosch, Western Cape , is seeking ambitious and intellectually curious graduates to join their team as Graduate Data Scientists. This hybrid role offers a unique opportunity to work on challenging machine learning projects, contributing to groundbreaking innovations while enjoying the flexibility of a hybrid work model. You will be mentored by world-class data scientists and have access to state-of-the-art computational resources. This is an exceptional chance to apply advanced statistical and computational techniques to solve complex real-world problems. The role involves collaboration with research teams, data engineers, and product developers, fostering a rich learning environment. You'll be immersed in a culture that values innovation, continuous learning, and collaborative problem-solving.

Key Responsibilities

• Develop, train, and evaluate machine learning models for various applications.
• Perform data preprocessing, feature engineering, and model selection.
• Conduct exploratory data analysis and visualize complex datasets.
• Implement and deploy machine learning models into production environments.
• Collaborate with domain experts to understand business requirements and translate them into data science solutions.
• Stay updated with the latest research and advancements in machine learning and artificial intelligence.
• Communicate findings and model results to technical and non-technical stakeholders.
• Contribute to the development of data pipelines and infrastructure.
• Participate in code reviews and knowledge-sharing sessions.

Requirements

• A Master's or PhD degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related field with a strong focus on machine learning.
• Solid theoretical understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
• Strong analytical and critical thinking skills.
• Excellent problem-solving abilities.
• Good communication and presentation skills, with the ability to explain complex concepts clearly.
• Ability to work both independently and collaboratively in a hybrid team setting.
• Located within commuting distance of Stellenbosch, Western Cape for required in-office days.
• Must be legally eligible to work in South Africa .

Benefits

Our client offers a competitive salary, comprehensive benefits package, and unparalleled opportunities for professional growth and research. You'll work on exciting and impactful projects at the forefront of technological innovation. The hybrid work model provides flexibility and promotes a healthy work-life balance. Access to advanced computing resources and continuous learning opportunities are guaranteed. Our client fosters a stimulating and collaborative research environment in the beautiful town of Stellenbosch . Join us and contribute to shaping the future of AI and machine learning!